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Michael Mayowa Farayola

Biographic Data

ID9293279
NAMEMichael Mayowa Farayola
GIVEN NAMESMichael Mayowa
FAMILY NAMEFarayola
SIGNATUREFARAYOLA M M
AFFILIATIONSDublin City University
ORCID0009-0002-3495-4155
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • A fairness-focused approach to recidivism prediction

    Open Access•Michael Mayowa Farayola, Irina Tal et al.•ARTICLE•AI & Society•2026

    Fairness in AI has emerged as a critical priority, particularly in high-stakes domains like criminal justice, where algorithmic decisions profoundly affect individuals and demographic groups. This study addresses persistent challenges of bias in recidivism prediction by evaluating the integrated application of fairness-enhancing techniques across the AI pipeline. Specifically, we analyze the integrated use of Reweighing, Adversarial Learning, Dis…

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  • A fairness-focused approach to recidivism prediction

    Open Access•Michael Mayowa Farayola, Irina Tal et al.•ARTICLE•AI & Society•2026

    Fairness in AI has emerged as a critical priority, particularly in high-stakes domains like criminal justice, where algorithmic decisions profoundly affect individuals and demographic groups. This study addresses persistent challenges of bias in recidivism prediction by evaluating the integrated application of fairness-enhancing techniques across the AI pipeline. Specifically, we analyze the integrated use of Reweighing, Adversarial Learning, Dis…

Actuarial science (1 work) · Business (1 work) · Computer Science (1 work) · Criminology (1 work) · Ethics and Social Impacts of AI (1 work) · Ethics in Business and Education (1 work) · Law (1 work) · Political science (1 work) · Psychology (1 work) · Psychology of Moral and Emotional Judgment (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae